Abstract:
The Bangladesh cricket team has developed a sizable following on social networking sites,
where supporters share their thoughts, feelings, and sentiments regarding the team's
performance. The purpose of this thesis is to investigate the viability of predicting the
performance of the Bangladesh cricket team in the World Cup using sentiment analysis of
Bangla comments on social media. In order to do this, I gathered a sizable dataset of
comments in Bangla from numerous social media sites, particularly Twitter, Facebook, and
Instagram, covering multiple World Cup seasons. I divided these comments into those with
favorable, negative, or neutral feelings using natural language processing (NLP) methods
and sentiment analysis tools. Then, I employed machine learning algorithms to examine
sentiment trends over time and tie them to the effectiveness of the team. According to my
research, there is a significant correlation between the attitude exhibited in social media
comments and the World Cup performance of the Bangladesh cricket team. I found that a
spike in positive sentiment frequently predicts improved team performance, while a spike
in negative sentiment frequently accompanies disappointing team performances. In
addition, perceptions of certain players, coaches, and team leadership are also important in
determining outcomes. In addition, I developed predictive models that anticipate the
likelihood that the Bangladesh cricket team would win the World Cup by fusing sentiment
analysis with historical data on the team's performance, player statistics, and other pertinent
aspects. When used to forecast the team's success, these models showed encouraging
accuracy. This study highlights the potential of social media data for forecasting sports
results and makes contributions to the growing subject of sports sentiment analysis. By
presenting a fresh viewpoint on the impact of social media sentiment in influencing team
performance and expectations, it also offers useful insights for cricket authorities, sponsors,
and fans. This research concludes by arguing that sentiment analysis of Bangla-language
social media comments can be a potent tool for forecasting the success of the Bangladesh
cricket team in World Cup competitions.
